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Evaluation of Depth Cameras for Use as an Augmented Reality Emergency Ruler
Michael Schmucker1, Christoph Igel2, Martin Haag1
1GECKO Institute, Heilbronn University of Applied Sciences, Heilbronn, Germany.
Insights
Pediatric emergency care is challenging due to calculation errors. A study found depth cameras on smartphones accurately measure child size, potentially reducing critical dosing mistakes in emergencies.
Area of Science:
- Medical technology
- Pediatric emergency medicine
- Computer vision
Background:
- Medical emergencies involving children are infrequent, leading to limited clinician experience.
- Anatomical differences and complex calculations in pediatric emergencies increase error potential, especially in medication dosing.
- Current weight-based calculations, often estimated from size, are prone to inaccuracies.
Purpose of the Study:
- To evaluate the precision of depth cameras for measuring children's size in emergency scenarios.
- To explore the feasibility of using augmented reality (AR) apps with depth cameras for pediatric size assessment.
- To determine if depth camera measurements are comparable to traditional emergency rulers.
Main Methods:
- A study involving 33 children was conducted.
- Measurements were taken using a standard emergency ruler.
- Children were also measured using a smartphone with an integrated depth camera and an AR application.
Main Results:
- Depth camera measurements showed no significant difference compared to emergency ruler measurements.
- The results indicate depth cameras provide reliable size data for pediatric patients.
- This validates the potential for technology-assisted pediatric emergency care.
Conclusions:
- Depth cameras integrated into devices like smartphones offer a viable, accurate method for pediatric size measurement.
- This technology can support the development of assistance services for critical pediatric calculations.
- Future research can focus on machine learning for patient recognition and usability studies.
Abstract:
Children are rarely affected by medical emergencies. The experience of doctors or paramedics with child emergencies is correspondingly poor. The anatomical features and individual calculations make such an emergency much more error-prone than a comparable adult emergency. Particularly in dose calculations, critical errors occur time and again. Since these calculations are based on the child's weight, which is preclinically often derived from the size of the child, the number of errors can be minimized with an assistance service that performs all calculations based on the size. Technically, it is possible to detect the size with a depth camera, which is occasionally installed in smartphones or head-mounted displays. In order to investigate to what extent these cameras provide precise results, a study with 33 children was carried out. The children were measured with both an emergency ruler and an augmented reality app with associated smartphone with depth camera. The result is that the depth camera does not provide significantly different results than an emergency ruler. This allows further research, e.g. the automatic recognition of patients with the help of machine learning or usability studies, to be tackled.
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